Kalman filter sensitivity with respect to parametric noises uncertainty. - Nikola Madjarov; Lyudmila Mihaylova (Kybernetika, 1996)

A Comparison of Decision Making Criteria and Optimization Methods for Active Robotic Sensing. - Lyudmila Mihaylova; Tine Lefebvre; Herman Bruyninckx; Klaas Gadeyne; Joris De Schutter (Numerical Methods and Application, 2002)

Hybrid stochastic framework for freeway traffic flow modelling. - Lyudmila Mihaylova; René K. Boel (ISICT, 2003)

A multisine approach for trajectory optimization based on information gain. - Lyudmila Mihaylova; Joris De Schutter; Herman Bruyninckx (Robotics Auton. Syst., 2003)

A particle filter for freeway traffic estimation. - Lyudmila Mihaylova; René K. Boel (CDC, 2004)

Monte Carlo Algorithm for Maneuvering Target Tracking and Classification. - Donka S. Angelova; Lyudmila Mihaylova; Tzvetan Semerdjiev (International Conference on Computational Science, 2004)

Particle filtering with multiple cues for object tracking in video sequences. - Paul A. Brasnett; Lyudmila Mihaylova; Nishan Canagarajah; David R. Bull (Electronic Imaging: Image and Video Communications and Processing, 2005)

Structural Similarity-Based Object Tracking in Video Sequences. - Artur Loza; Lyudmila Mihaylova; Nishan Canagarajah; David R. Bull (FUSION, 2006)

Algorithms for Mobile Nodes Self-Localisation in Wireless Ad Hoc Networks. - Lyudmila Mihaylova; Donka S. Angelova; Cedric Nishan Canagarajah; David R. Bull (FUSION, 2006)

The Influence of Multi-Sensor Video Fusion on Object Tracking Using a Particle Filter. - Lyudmila Mihaylova; Artur Loza; Stavri G. Nikolov; John Joseph Lewis; Eduardo Fernández Canga; Jian Li 020; Timothy D. Dixon; Cedric Nishan Canagarajah; David R. Bull (GI Jahrestagung (1), 2006)

A Monte Carlo Algorithm for State and Parameter Estimation of Extended Targets. - Donka S. Angelova; Lyudmila Mihaylova (International Conference on Computational Science (3), 2006)

Extended Object Tracking Using Mixture Kalman Filtering. - Donka S. Angelova; Lyudmila Mihaylova (Numerical Methods and Applications, 2006)

Joint target tracking and classification with particle filtering and mixture Kalman filtering using kinematic radar information. - Donka S. Angelova; Lyudmila Mihaylova (Digit. Signal Process., 2006)

Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection. - Harish Bhaskar; Lyudmila Mihaylova; Simon Maskell (GI Jahrestagung (2), 2007)

Freeway traffic estimation within particle filtering framework. - Lyudmila Mihaylova; René K. Boel; Andreas Hegyi (Autom., 2007)

How Many Randomly Distributed Wireless Sensors Are Enough To Make a 1-Dimensional Network Connected With a Given Probability? - Vitaliy Kurlin; Lyudmila Mihaylova; Simon Maskell (CoRR, 2007)

Sequential Monte Carlo tracking by fusing multiple cues in video sequences. - Paul Brasnett; Lyudmila Mihaylova; David R. Bull; Cedric Nishan Canagarajah (Image Vis. Comput., 2007)

Mobility Tracking in Cellular Networks Using Particle Filtering. - Lyudmila Mihaylova; Donka S. Angelova; S. Honary; David R. Bull; Cedric Nishan Canagarajah; Branko Ristic 001 (IEEE Trans. Wirel. Commun., 2007)

Ground target group structure and state estimation with particle filtering. - Amadou Gning; Lyudmila Mihaylova; Simon Maskell; Sze Kim Pang; Simon J. Godsill (FUSION, 2008)

Multi-resolution learning vector quantisation based automatic colour clustering. - Andrew M. Payne; Harish Bhaskar; Lyudmila Mihaylova (FUSION, 2008)

Extended Object Tracking Using Monte Carlo Methods. - Donka S. Angelova; Lyudmila Mihaylova (IEEE Trans. Signal Process., 2008)

Contour extraction from ultrasound images viewed as a tracking problem. - Donka S. Angelova; Lyudmila Mihaylova (FUSION, 2009)

Dynamic clustering and belief propagation for distributed inference in random sensor networks with deficient links. - Amadou Gning; Lyudmila Mihaylova (FUSION, 2009)

Parallelised Gaussian Mixture Filtering for Vehicular Traffic Flow Estimation. - Lyudmila Mihaylova; Amadou Gning; Viktor Doychinov; René K. Boel (GI Jahrestagung, 2009)

Quality of service consideration for the wireless telemedicine and e-health services. - Anna Zvikhachevskaya; Garik Markarian; Lyudmila Mihaylova (WCNC, 2009)

Structural similarity-based object tracking in multimodality surveillance videos. - Artur Loza; Lyudmila Mihaylova; David R. Bull; Cedric Nishan Canagarajah (Mach. Vis. Appl., 2009)

Combined feature-level video indexing using block-based motion estimation. - Harish Bhaskar; Lyudmila Mihaylova (FUSION, 2010)

Mixture of uniform probability density functions for non linear state estimation using interval analysis. - Amadou Gning; Lyudmila Mihaylova; Fahed Abdallah (FUSION, 2010)

Noise parameters estimation with Gibbs sampling for localisation of mobile nodes in wireless networks. - Lyudmila Mihaylova; Donka S. Angelova (FUSION, 2010)

Bearings Only Versus Bearings and Extent Tracking for Missile Guidance Systems Utilising Particle Methods. - Alexander Watson; Lyudmila Mihaylova; Dave Vorley (GI Jahrestagung (2), 2010)

Video Foreground Detection Based on Symmetric Alpha-Stable Mixture Models. - Harish Bhaskar; Lyudmila Mihaylova; Alin Achim (IEEE Trans. Circuits Syst. Video Technol., 2010)

A box particle filter for stochastic and set-theoretic measurements with association uncertainty. - Amadou Gning; Branko Ristic 001; Lyudmila Mihaylova (FUSION, 2011)

Angle-only filtering in 3D using modified spherical and log spherical coordinates. - Mahendra Mallick; Sanjeev Arulampalam; Lyudmila Mihaylova; Yanjun Yan (FUSION, 2011)

A novel Sequential Monte Carlo approach for extended object tracking based on border parameterisation. - Nikolay Petrov; Lyudmila Mihaylova; Amadou Gning; Donka S. Angelova (FUSION, 2011)

Nonlinear filtering using measurements affected by stochastic, set-theoretic and association uncertainty. - Branko Ristic 001; Amadou Gning; Lyudmila Mihaylova (FUSION, 2011)

Information driven approach for sensor positioning in wireless sensor networks. - Arshad Ali 001; Costas Xydeas; Lyudmila Mihaylova; El Hadji Amadou Gning (GI-Jahrestagung, 2011)

A sequential Monte Carlo approach for extended object tracking in the presence of clutter. - Nikolay Petrov; Lyudmila Mihaylova; Amadou Gning; Donka S. Angelova (GI-Jahrestagung, 2011)

Md isa enhanced positioning techniques for hybrid wireless networks. - Anna Zvikhachevskaya; Vassil Gourov; Lyudmila Mihaylova; Azmi Awang (GI-Jahrestagung, 2011)

Video object tracking with differential Structural SIMilarity index. - Artur Loza; Fanglin Wang; Jie Yang 002; Lyudmila Mihaylova (ICASSP, 2011)

Particle algorithms for filtering in high dimensional state spaces: A case study in group object tracking. - Lyudmila Mihaylova; Avishy Carmi (ICASSP, 2011)

MCMC-based tracking and identification of leaders in groups. - Avishy Carmi; Lyudmila Mihaylova; François Septier; Sze Kim Pang; Pini Gurfil; Simon J. Godsill (ICCV Workshops, 2011)

Combined Data Association and Evolving Particle Filter for Tracking of Multiple Articulated Objects. - Harish Bhaskar; Lyudmila Mihaylova (EURASIP J. Image Video Process., 2011)

Contour segmentation in 2D ultrasound medical images with particle filtering. - Donka S. Angelova; Lyudmila Mihaylova (Mach. Vis. Appl., 2011)

Interval Macroscopic Models for Traffic Networks. - Amadou Gning; Lyudmila Mihaylova; René K. Boel (IEEE Trans. Intell. Transp. Syst., 2011)

Localization of Mobile Nodes in Wireless Networks with Correlated in Time Measurement Noise. - Lyudmila Mihaylova; Donka S. Angelova; David R. Bull; Nishan Canagarajah (IEEE Trans. Mob. Comput., 2011)

Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods. - Amadou Gning; Lyudmila Mihaylova; Simon Maskell; Sze Kim Pang; Simon J. Godsill (IEEE Trans. Signal Process., 2011)

Continuous-discrete filtering using EKF, UKF, and PF. - Mahendra Mallick; Mark R. Morelande; Lyudmila Mihaylova (FUSION, 2012)

Comparison of angle-only filtering algorithms in 3D using Cartesian and modified spherical coordinates. - Mahendra Mallick; Mark R. Morelande; Lyudmila Mihaylova; Sanjeev Arulampalam; Yanjun Yan (FUSION, 2012)

Bearings-only tracking with particle filtering for joint parameter learning and state estimation. - Christopher Nemeth; Paul Fearnhead; Lyudmila Mihaylova; Dave Vorley (FUSION, 2012)

Box Particle Filtering for extended object tracking. - Nikolay Petrov; Amadou Gning; Lyudmila Mihaylova; Donka S. Angelova (FUSION, 2012)

Box-particle PHD filter for multi-target tracking. - Marek Schikora; Amadou Gning; Lyudmila Mihaylova; Daniel Cremers; Wolfgang Koch 001 (FUSION, 2012)

Unscented compressed sensing. - Avishy Carmi; Lyudmila Mihaylova; Dimitri Kanevsky (ICASSP, 2012)

A novel approach to estimating current and future states of technical systems. - Kirill Bushminkin; Lyudmila Mihaylova; Denis Kolev; Vikhoreva Alexandra; Denis Rodionov (ICNC, 2012)

Particle filters and beamforming for EEG source estimation. - Petia Georgieva; Lyudmila Mihaylova; Nidhal Bouaynaya; Lakhmi C. Jain (IJCNN, 2012)

Extended object tracking with convolution particle filtering. - Donka S. Angelova; Lyudmila Mihaylova; Nikolay Petrov; Amadou Gning (IEEE Conf. of Intelligent Systems, 2012)

A probabilistic hypothesis density filter for traffic flow estimation in the presence of clutter. - Matthieu Canaud; Lyudmila Mihaylova; Nour-Eddin El Faouzi; Romain Billot; Jacques Sau (SDF, 2012)

On the performance of the Box Particle Filter for extended object tracking using laser data. - Nikolay Petrov; Martin Ulmke; Lyudmila Mihaylova; Amadou Gning; Marek Schikora; Monika Wieneke; Wolfgang Koch 001 (SDF, 2012)

Video Distribution Techniques Over WiMAX Networks for m-Health Applications. - Garik Markarian; Lyudmila Mihaylova; Dmitry V. Tsitserov; Anna Zvikhachevskaya (IEEE Trans. Inf. Technol. Biomed., 2012)

Parallelized Particle and Gaussian Sum Particle Filters for Large-Scale Freeway Traffic Systems. - Lyudmila Mihaylova; Andreas Hegyi; Amadou Gning; René K. Boel (IEEE Trans. Intell. Transp. Syst., 2012)

Bernoulli Particle/Box-Particle Filters for Detection and Tracking in the Presence of Triple Measurement Uncertainty. - Amadou Gning; Branko Ristic 001; Lyudmila Mihaylova (IEEE Trans. Signal Process., 2012)

Sensor and Data Fusion. - Lawrence A. Klein; Lyudmila Mihaylova; Nour-Eddin El Faouzi (Handbook of Soft Computing for Video Surveillance, 2012)

Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods. - Avishy Y. Carmi; Lyudmila Mihaylova; François Septier; Sze Kim Pang; Pini Gurfil; Simon J. Godsill (Modeling, Simulation and Visual Analysis of Crowds, 2013)

A convolution particle filtering approach for tracking elliptical extended objects. - Donka S. Angelova; Lyudmila Mihaylova; Nikolay Petrov; Amadou Gning (FUSION, 2013)

Non-linear state estimation using imprecise samples. - Amadou Gning; Simon Julier; Lyudmila Mihaylova (FUSION, 2013)

Clustering and a joint probabilistic data association filter for dealing with occlusions in multi-target tracking. - Ata ur-Rehman; Syed Mohsen Naqvi; Lyudmila Mihaylova; Jonathon A. Chambers (FUSION, 2013)

Variational Bayesian and belief propagation based data association for multi-target tracking. - Ata ur-Rehman; Syed Mohsen Naqvi; Lyudmila Mihaylova; Jonathon A. Chambers (ICASSP, 2013)

Bayesian Approach for Reconstruction of Moving Brain Dipoles. - Petia Georgieva; Nidhal Bouaynaya; Lyudmila Mihaylova; Filipe Miguel Teixeira Pereira da Silva (ICIAR, 2013)

The effect of recovery algorithms on compressive sensing background subtraction. - Rhian Davies; Lyudmila Mihaylova; Nicos G. Pavlidis; Idris A. Eckley (SDF, 2013)

Articulated human body parts detection based on cluster background subtraction and foreground matching. - Harish Bhaskar; Lyudmila Mihaylova; Simon Maskell (Neurocomputing, 2013)

Probability hypothesis density filtering for real-time traffic state estimation and prediction. - Matthieu Canaud; Lyudmila Mihaylova; Jacques Sau; Nour-Eddin El Faouzi (Networks Heterog. Media, 2013)

An Introduction to Box Particle Filtering [Lecture Notes]. - Amadou Gning; Branko Ristic 001; Lyudmila Mihaylova; Fahed Abdallah (IEEE Signal Process. Mag., 2013)

Kriging interpolation based sensor node position management in dynamic environment. - Arshad Ali 001; X. Costas; Lyudmila Mihaylova; Bamidele Adebisi; Augustine Ikpehai (CSNDSP, 2014)

Multiple land mines localization using a wireless sensor network. - Hiba Haj Chhadé; Fahed Abdallah; Imad Mougharbel; Amadou Gning; Lyudmila Mihaylova; Simon Julier (FUSION, 2014)

Crowd tracking with box particle filtering. - Nikolay Petrov; Lyudmila Mihaylova; Allan De Freitas; Amadou Gning (FUSION, 2014)

Multi-target tracking by using particle filtering and a social force model. - Ata ur-Rehman; Syed Mohsen Naqvi; Lyudmila Mihaylova; Jonathon A. Chambers (FUSION, 2014)

Statistical approach for reconstruction of dynamic brain dipoles based on EEG data. - Petia Georgieva; Filipe Miguel Teixeira Pereira da Silva; Lyudmila Mihaylova; Nidhal Bouaynaya (IJCNN, 2014)

Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking. - Lyudmila Mihaylova; Avishy Carmi; François Septier; Amadou Gning; Sze Kim Pang; Simon J. Godsill (Digit. Signal Process., 2014)

Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors. - Hiba Haj Chhadé; Fahed Abdallah; Imad Mougharbel; Amadou Gning; Simon Julier; Lyudmila Mihaylova (Sensors, 2014)

Box-particle probability hypothesis density filtering. - Marek Schikora; Amadou Gning; Lyudmila Mihaylova; Daniel Cremers; Wolfgang Koch 001 (IEEE Trans. Aerosp. Electron. Syst., 2014)

Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments. - Christopher Nemeth; Paul Fearnhead; Lyudmila Mihaylova (IEEE Trans. Signal Process., 2014)

EEG dynamic source localization using Marginalized Particle Filtering. - Bradley Ebinger; Nidhal Bouaynaya; Petia Georgieva; Lyudmila Mihaylova (BIBM, 2015)

How can subsampling reduce complexity in sequential MCMC methods and deal with big data in target tracking? - Allan De Freitas; François Septier; Lyudmila Mihaylova; Simon J. Godsill (FUSION, 2015)

A Bayesian compressed sensing Kalman filter for direction of arrival estimation. - Matthew B. Hawes; Lyudmila Mihaylova; François Septier; Simon J. Godsill (FUSION, 2015)

An expectation maximisation algorithm for behaviour analysis in video. - Olga Isupova; Lyudmila Mihaylova; Danil Kuzin; Garik Markarian; François Septier (FUSION, 2015)

Tracking of wireless mobile nodes in he presence of unknown path-loss characteristics. - Muhammad Waqas Khan; Andrew H. Kemp 001; Naveed Salman; Lyudmila Mihaylova (FUSION, 2015)

Sequential Markov Chain Monte Carlo for multi-target tracking with correlated RSS measurements. - Roland Lamberti; François Septier; Naveed Salman; Lyudmila Mihaylova (ISSNIP, 2015)

A shrinkage-based particle filter for tracking with correlated measurements. - Aroland Kiring; Naveed Salman; Chao Liu 056; Inaki Esnaola; Lyudmila Mihaylova (SDF, 2015)

Compressive sensing approaches for autonomous object detection in video sequences. - Danil Kuzin; Olga Isupova; Lyudmila Mihaylova (SDF, 2015)

A Kriging algorithm for location fingerprinting based on received signal strength. - Chao Liu 056; Aroland Kiring; Naveed Salman; Lyudmila Mihaylova; Inaki Esnaola (SDF, 2015)

An algorithm for Morphological classification of motile human sperm. - Lore E. M. Van Raemdonck; Ata ur-Rehman; Maria Luisa Davila Garcia; Lyudmila Mihaylova; Robert F. Harrison; Allan Pacey (SDF, 2015)

Compressive Sensing Based Design of Sparse Tripole Arrays. - Matthew B. Hawes; Wei Liu 001; Lyudmila Mihaylova (Sensors, 2015)

Autonomous detection and tracking under illumination changes, occlusions and moving camera. - Harish Bhaskar; Kartik Dwivedi; Debi Prosad Dogra; Mohammed E. Al-Mualla; Lyudmila Mihaylova (Signal Process., 2015)

Vehicle logo recognition by spatial-SIFT combined with logistic regression. - Ruilong Chen; Matthew B. Hawes; Lyudmila Mihaylova; Jingjing Xiao; Wei Liu 001 (FUSION, 2016)

Dealing with massive data with a distributed expectation propagation particle filter for object tracking. - Allan De Freitas; Lyudmila Mihaylova (FUSION, 2016)

Traffic state estimation via a particle filter with compressive sensing and historical traffic data. - Matthew B. Hawes; Hayder M. Amer; Lyudmila Mihaylova (FUSION, 2016)

Dynamic Hierarchical Dirichlet Process for abnormal behaviour detection in video. - Olga Isupova; Danil Kuzin; Lyudmila Mihaylova (FUSION, 2016)

Autonomous flame detection in video based on saliency analysis and optical flow. - Zhenglin Li; Olga Isupova; Lyudmila Mihaylova; Lucile Rossi (MFI, 2016)

Enhancing Autonomy in VTOL Aircraft Based on Symbolic Computation Algorithms. - James A. Douthwaite; Lyudmila S. Mihaylova; Sandor M. Veres (TAROS, 2016)

Autonomous crowds tracking with box particle filtering and convolution particle filtering. - Allan De Freitas; Lyudmila Mihaylova; Amadou Gning; Donka S. Angelova; Visakan Kadirkamanathan (Autom., 2016)

Location prediction optimisation in WSNs using Kriging interpolation. - Arshad Ali 001; Augustine Ikpehai; Bamidele Adebisi; Lyudmila Mihaylova (IET Wirel. Sens. Syst., 2016)

An Improved Simulated Annealing Technique for Enhanced Mobility in Smart Cities. - Hayder M. Amer; Naveed Salman; Matthew B. Hawes; Moumena Chaqfeh; Lyudmila Mihaylova; Martin Mayfield (Sensors, 2016)

Localisation of Sensor Nodes with Hybrid Measurements in Wireless Sensor Networks . - Muhammad Waqas Khan; Naveed Salman; Andrew H. Kemp 001; Lyudmila Mihaylova (Sensors, 2016)

Subgradient-based Markov Chain Monte Carlo particle methods for discrete-time nonlinear filtering. - Avishy Y. Carmi; Lyudmila Mihaylova; François Septier (Signal Process., 2016)

A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources. - Petia Georgieva; Nidhal Bouaynaya; Filipe Miguel Teixeira Pereira da Silva; Lyudmila Mihaylova; Lakhmi C. Jain (IEEE J. Biomed. Health Informatics, 2016)

Multi-Target Tracking and Occlusion Handling With Learned Variational Bayesian Clusters and a Social Force Model. - Ata ur-Rehman; Syed Mohsen Naqvi; Lyudmila Mihaylova; Jonathon A. Chambers (IEEE Trans. Signal Process., 2016)

Estimation of joint angle based on surface electromyogram signals recorded at different load levels. - Ahmed M. Azab; Mahanz Arvanch; Lyudmila S. Mihaylova (EMBC, 2017)

Online vehicle logo recognition using Cauchy prior logistic regression. - Ruilong Chen; Matthew B. Hawes; Olga Isupova; Lyudmila Mihaylova; Hao Zhu 003 (FUSION, 2017)

A novel measurement processing approach to the parallel expectation propagation unscented Kalman filter. - Allan De Freitas; Carsten Fritsche; Lyudmila Mihaylova; Fredrik Gunnarsson (FUSION, 2017)

Traffic state estimation via a particle filter over a reduced measurement space. - Matthew B. Hawes; Hayder M. Amer; Lyudmila Mihaylova (FUSION, 2017)

Tracking of interacting targets. - Carlos Moreno Leon; Lyudmila S. Mihaylova; Hans Driessen (FUSION, 2017)

Dual-satellite source geolocation with time and frequency offsets and satellite location errors. - Chao Liu 056; Le Yang 001; Lyudmila Mihaylova (FUSION, 2017)

A Gaussian process approach for extended object tracking with random shapes and for dealing with intractable likelihoods. - Waqas Aftab; Allan De Freitas; Mahnaz Arvaneh; Lyudmila Mihaylova (DSP, 2017)

A Bag of Features Based Approach for Classification of Motile Sperm Cells. - Maria Luisa Davila Garcia; Daniel A. Paredes Soto; Lyudmila S. Mihaylova (iThings/GreenCom/CPSCom/SmartData, 2017)

A game theory approach for congestion control in vehicular ad hoc networks. - Hayder M. Amer; Christos Tsotskas; Matthew B. Hawes; Patrizia Franco; Lyudmila Mihaylova (SDF, 2017)

An interval approach to multiple unmanned aerial vehicle collision avoidance. - James A. Douthwaite; Allan De Freitas; Lyudmila S. Mihaylova (SDF, 2017)

Bayesian processing of big data using log homotopy based particle flow filters. - Muhammad Altamash Khan; Allan De Freitas; Lyudmila Mihaylova; Martin Ulmke; Wolfgang Koch 001 (SDF, 2017)

Location and Orientation Optimisation for Spatially Stretched Tripole Arrays Based on Compressive Sensing. - Matthew B. Hawes; Lyudmila Mihaylova; Wei Liu 001 (CoRR, 2017)

Bayesian Compressive Sensing Approaches for Direction of Arrival Estimation with Mutual Coupling Effects. - Matthew B. Hawes; Lyudmila Mihaylova; François Septier; Simon J. Godsill (CoRR, 2017)

Optimization-Based Hybrid Congestion Alleviation for 6LoWPAN Networks. - Hayder A. A. Al-Kashoash; Hayder M. Amer; Lyudmila Mihaylova; Andrew H. Kemp 001 (IEEE Internet Things J., 2017)

Guaranteed computation of robot trajectories. - Simon Rohou; Luc Jaulin; Lyudmila Mihaylova; Fabrice Le Bars; Sandor M. Veres (Robotics Auton. Syst., 2017)

Overview of Environment Perception for Intelligent Vehicles. - Hao Zhu 003; Ka-Veng Yuen; Lyudmila Mihaylova; Henry Leung (IEEE Trans. Intell. Transp. Syst., 2017)

Location and Orientation Optimization for Spatially Stretched Tripole Arrays Based on Compressive Sensing. - Matthew B. Hawes; Lyudmila Mihaylova; Wei Liu 001 (IEEE Trans. Signal Process., 2017)

Data Space Adaptation for Multiclass Motor Imagery-based BCI. - Joshua Giles; Kai Keng Ang; Lyudmila Mihaylova; Mahnaz Arvaneh (EMBC, 2018)

Gaussian Processes for RSS Fingerprints Construction in Indoor Localization. - Yuxin Zhao 003; Chao Liu 056; Lyudmila S. Mihaylova; Fredrik Gunnarsson (FUSION, 2018)

A Gaussian Process Convolution Particle Filter for Multiple Extended Objects Tracking with Non-Regular Shapes. - Waqas Aftab; Allan De Freitas; Mahnaz Arvaneh; Lyudmila Mihaylova (FUSION, 2018)

Learning Capsules for Vehicle Logo Recognition. - Ruilong Chen; Md Asif Jalal; Lyudmila Mihaylova; Roger K. Moore (FUSION, 2018)

A Novel Robust Rauch-Tung-Striebel Smoother Based on Slash and Generalized Hyperbolic Skew Student's T-Distributions. - Yulong Huang; Yonggang Zhang 001; Yuxin Zhao 001; Lyudmila Mihaylova; Jonathon A. Chambers (FUSION, 2018)

American Sign Language Posture Understanding with Deep Neural Networks. - Md Asif Jalal; Ruilong Chen; Roger K. Moore; Lyudmila Mihaylova (FUSION, 2018)

Robust Bayesian Filtering Using Bayesian Model Averaging and Restricted Variational Bayes. - Syed Safwan Khalid; Naveed ur Rehman; Shafayat Abrar; Lyudmila Mihaylova (FUSION, 2018)

Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning. - Danil Kuzin; Le Yang 001; Olga Isupova; Lyudmila Mihaylova (FUSION, 2018)

A Gaussian Process Regression for Natural Gas Consumption Prediction Based on Time Series Data. - Oussama Laib; Mohamed Tarek Khadir; Lyudmila Mihaylova (FUSION, 2018)

Enhanced GMM-Based Filtering with Measurement Update Ordering and Innovation-Based Pruning. - Xi Li 020; Le Yang 001; Lyudmila Mihaylova; Fucheng Guo 001; Min Zhang (FUSION, 2018)

A Gaussian Process Regression Approach for Fusion of Remote Sensing Images for Oil Spill Segmentation. - Fodio S. Longman; Lyudmila Mihaylova; Le Yang 001 (FUSION, 2018)

Short Term Traffic Flow Prediction with Particle Methods in the Presence of Sparse Data. - Kennedy J. Offor; Matthew B. Hawes; Lyudmila Mihaylova (FUSION, 2018)

Coalition Game for Emergency Vehicles Re-Routing in Smart Cities. - Hayder M. Amer; Hayder A. A. Al-Kashoash; Andrew H. Kemp 001; Lyudmila Mihaylova; Martin Mayfield (SAM, 2018)

A Capsule Network for Traffic Speed Prediction in Complex Road Networks. - Youngjoo Kim; Peng Wang 076; Yifei Zhu 002; Lyudmila Mihaylova (SDF, 2018)

Short-Term Traffic Prediction with Vicinity Gaussian Process in the Presence of Missing Data. - Peng Wang 076; Youngjoo Kim; Lubos Vaci; Haoze Yang; Lyudmila Mihaylova (SDF, 2018)

Weighted Multi-task Learning in Classification Domain for Improving Brain-Computer Interface. - Mahnaz Arvaneh; Lyudmila Mihaylova; Ahmed M. Azab (SMC, 2018)

Reliable non-linear state estimation involving time uncertainties. - Simon Rohou; Luc Jaulin; Lyudmila Mihaylova; Fabrice Le Bars; Sandor M. Veres (Autom., 2018)

Uncertainty propagation in neural networks for sparse coding. - Danil Kuzin; Olga Isupova; Lyudmila Mihaylova (CoRR, 2018)

Special collection on recent advances in sensor-based smart car technology. - Bryan (Byung-Gyu) Kim; Kye-Shin Lee; Lyudmila Mihaylova; Rajendra Prasath (Int. J. Distributed Sens. Networks, 2018)

Motion anomaly detection and trajectory analysis in visual surveillance. - Manaswi Chebiyyam; Rohit Desam Reddy; Debi Prosad Dogra; Harish Bhaskar; Lyudmila Mihaylova (Multim. Tools Appl., 2018)

Autonomous Flame Detection in Videos With a Dirichlet Process Gaussian Mixture Color Model. - Zhenglin Li; Lyudmila S. Mihaylova; Olga Isupova; Lucile Rossi (IEEE Trans. Ind. Informatics, 2018)

Learning Methods for Dynamic Topic Modeling in Automated Behavior Analysis. - Olga Isupova; Danil Kuzin; Lyudmila Mihaylova (IEEE Trans. Neural Networks Learn. Syst., 2018)

Gradient-Based Sequential Markov Chain Monte Carlo for Multitarget Tracking With Correlated Measurements. - Roland Lamberti; François Septier; Naveed Salman; Lyudmila Mihaylova (IEEE Trans. Signal Inf. Process. over Networks, 2018)

Spatio-Temporal Structured Sparse Regression With Hierarchical Gaussian Process Priors. - Danil Kuzin; Olga Isupova; Lyudmila Mihaylova (IEEE Trans. Signal Process., 2018)

Non-Random Weight Initialisation in Deep Learning Networks for Repeatable Determinism. - Richard N. M. Rudd-Orthner; Lyudmila Mihaylova (DESSERT, 2019)

A Maximum Likelihood Approach to Joint Groupwise Image Registration and Fusion by a Student-$t$ Mixture Model. - Hao Zhu 003; Chunxia Tang; Allan De Freitas; Lyudmila Mihaylova (FUSION, 2019)

A Gaussian Process Regression Approach for Point Target Tracking. - Waqas Aftab; Lyudmila Mihaylova (FUSION, 2019)

Dual Stream Spatio-Temporal Motion Fusion With Self-Attention For Action Recognition. - Md Asif Jalal; Waqas Aftab; Roger K. Moore; Lyudmila Mihaylova (FUSION, 2019)

An End-to-End Deep Neural Network for Facial Emotion Classification. - Md Asif Jalal; Lyudmila Mihaylova; Roger K. Moore (FUSION, 2019)

Enhanced Multiple Model GPB2 Filtering Using Variational Inference. - Xi Li 020; Yi Liu; Lyudmila Mihaylova; Le Yang 001; Steve Weddell; Fucheng Guo 001 (FUSION, 2019)

Multi-Band Image Fusion Using Gaussian Process Regression with Sparse Rational Quadratic Kernel. - Fodio S. Longman; Lyudmila Mihaylova; Le Yang 001; Konstantinos N. Topouzelis (FUSION, 2019)

A Novel Three Dimensional Probability-based Classifier for Improving Motor Imagery-based BCI. - Adrian L. Ashley; Mahnaz Arvaneh; Lyudmila S. Mihaylova (ICASSP, 2019)

Robust Common Spatial Patterns Estimation Using Dynamic Time Warping to Improve BCI Systems. - Ahmed M. Azab; Lyudmila Mihaylova; Hamed Ahmadi; Mahnaz Arvaneh (ICASSP, 2019)

A Novel Progressive Gaussian Approximate Filter with Variable Step Size Based on a Variational Bayesian Approach. - Mingming Bai; Yulong Huang; Yonggang Zhang 001; Lyudmila Mihaylova; Jonathon A. Chambers (ICASSP, 2019)

A Subject-to-subject Transfer Learning Framework Based on Jensen-Shannon Divergence for Improving Brain-computer Interface. - Joshua Giles; Kai Keng Ang; Lyudmila S. Mihaylova; Mahnaz Arvaneh (ICASSP, 2019)

Structural Recurrent Neural Network for Traffic Speed Prediction. - Youngjoo Kim; Peng Wang 076; Lyudmila Mihaylova (ICASSP, 2019)

Bayesian Neural Networks for Sparse Coding. - Danil Kuzin; Olga Isupova; Lyudmila Mihaylova (ICASSP, 2019)

An Algebraic Expert System with Neural Network Concepts for Cyber, Big Data and Data Migration. - Richard N. M. Rudd-Orthner; Lyudmila Mihaylova (ISSPIT, 2019)

Leveraging Uncertainty in Adversarial Learning to Improve Deep Learning Based Segmentation. - Mahed Javed; Lyudmila Mihaylova (SDF, 2019)

Multi-Model Bayesian Kriging for Urban Traffic State Prediction. - Kennedy J. Offor; Peng Wang 076; Lyudmila Mihaylova (SDF, 2019)

Computer Vision Methods for Automating High Temperature Steel Section Sizing in Thermal Images. - Peng Wang 076; Yueda Lin; Ree Muroiwa; Simon Pike; Lyudmila Mihaylova (SDF, 2019)

Variational Bayesian inference of hidden stochastic processes with unknown parameters. - Komlan Atitey; Pavel Loskot; Lyudmila Mihaylova (CoRR, 2019)

Information and resource management systems for Internet of Things: Energy management, communication protocols and future applications. - Tariq Umer; Mubashir Husain Rehmani; Ahmed E. Kamal 001; Lyudmila Mihaylova (Future Gener. Comput. Syst., 2019)

A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration. - Hao Zhu 003; Bin Guo; Ke Zou; Yongfu Li 001; Ka-Veng Yuen; Lyudmila Mihaylova; Henry Leung (Sensors, 2019)

Traffic Estimation for Large Urban Road Network with High Missing Data Ratio. - Kennedy J. Offor; Lubos Vaci; Lyudmila S. Mihaylova (Sensors, 2019)

Robust Non-Rigid Feature Matching for Image Registration Using Geometry Preserving. - Hao Zhu 003; Ke Zou; Yongfu Li 001; Ming Cen; Lyudmila Mihaylova (Sensors, 2019)

A Box Particle Filter Method for Tracking Multiple Extended Objects. - Allan De Freitas; Lyudmila Mihaylova; Amadou Gning; Marek Schikora; Martin Ulmke; Donka S. Angelova; Wolfgang Koch 001 (IEEE Trans. Aerosp. Electron. Syst., 2019)

Online Sparse Multi-Output Gaussian Process Regression and Learning. - Le Yang 001; Ke Wang 020; Lyudmila Mihaylova (IEEE Trans. Signal Inf. Process. over Networks, 2019)

Spatio-Temporal Gaussian Process Models for Extended and Group Object Tracking With Irregular Shapes. - Waqas Aftab; Roland Hostettler; Allan De Freitas; Mahnaz Arvaneh; Lyudmila Mihaylova (IEEE Trans. Veh. Technol., 2019)

Velocity Obstacle Approaches for Multi-Agent Collision Avoidance. - James A. Douthwaite; Shiyu Zhao; Lyudmila S. Mihaylova (Unmanned Syst., 2019)

Non-Random Weight Initialisation in Deep Convolutional Networks Applied to Safety Critical Artificial Intelligence. - Richard N. M. Rudd-Orthner; Lyudmila Mihaylova (DeSE, 2020)

Weighted Transfer Learning of Dynamic Time Warped Data for Motor Imagery based Brain Computer Interfaces. - Joshua Giles; Kai Keng Ang; Lyudmila Mihaylova; Mahnaz Arvaneh (EMBC, 2020)

On the Impact of Different Kernels and Training Data on a Gaussian Process Approach for Target Tracking. - Waqas Aftab; Lyudmila Mihaylova (FUSION, 2020)

A Dirichlet Process Mixture Model for Autonomous Sleep Apnea Detection using Oxygen Saturation Data. - Zhenglin Li; Mahnaz Arvaneh; Heather E. Elphick; Ruth N. Kingshott; Lyudmila S. Mihaylova (FUSION, 2020)

Outlier-Robust Schmidt-Kalman Filter Using Variational Inference. - Yi Liu; Xi Li 020; Yanbo Xue; Stephen John Weddell; Le Yang 001; Lyudmila Mihaylova (FUSION, 2020)

A Weighted Variance Approach for Uncertainty Quantification in High Quality Steel Rolling. - Peng Wang 076; Yueda Lin; Ree Muroiwa; Simon Pike; Lyudmila Mihaylova (FUSION, 2020)

Machine Learning Approaches for Cancer Bone Segmentation from Micro Computed Tomography Images. - Yifei Zhu 002; Alanna C. Green; Lingzhong Guo; Holly R. Evans; Lyudmila Mihaylova (FUSION, 2020)

Bayesian Neural Networks Uncertainty Quantification with Cubature Rules. - Peng Wang 076; Nidhal C. Bouaynaya; Lyudmila Mihaylova; Jikai Wang; Qibin Zhang; Renke He (IJCNN, 2020)

Robust Learning via Ensemble Density Propagation in Deep Neural Networks. - Giuseppina Carannante; Dimah Dera; Ghulam Rasool 001; Nidhal C. Bouaynaya; Lyudmila Mihaylova (MLSP, 2020)

Non-cooperative game based congestion control for data rate optimization in vehicular ad hoc networks. - Hayder M. Amer; Hayder A. A. Al-Kashoash; Mohammed J. Khami; Martin Mayfield; Lyudmila Mihaylova (Ad Hoc Networks, 2020)

A Deep Learning Framework for Joint Image Restoration and Recognition. - Ruilong Chen; Lyudmila Mihaylova; Hao Zhu 003; Nidhal C. Bouaynaya (Circuits Syst. Signal Process., 2020)

Repeatable determinism using non-random weight initialisations in smart city applications of deep learning. - Richard N. M. Rudd-Orthner; Lyudmila Mihaylova (J. Reliab. Intell. Environ., 2020)

Robust Rauch-Tung-Striebel Smoothing Framework for Heavy-Tailed and/or Skew Noises. - Yulong Huang; Yonggang Zhang 001; Yuxin Zhao 001; Lyudmila Mihaylova; Jonathon A. Chambers (IEEE Trans. Aerosp. Electron. Syst., 2020)

An Enhanced Particle Filter for Uncertainty Quantification in Neural Networks. - Giuseppina Carannante; Nidhal C. Bouaynaya; Lyudmila Mihaylova (FUSION, 2021)

Variance Guided Continual Learning in a Convolutional Neural Network Gaussian Process Single Classifier Approach for Multiple Tasks in Noisy Images. - Mahed Javed; Lyudmila Mihaylova; Nidhal Bouaynaya (FUSION, 2021)

Enhanced Fixed-Interval Smoothing for Markovian Switching Systems. - Xi Li 020; Yi Liu; Le Yang 001; Lyudmila Mihaylova; Bing Deng (FUSION, 2021)

Real-time Activation Pattern Monitoring and Uncertainty Characterisation in Image Classification. - Shenglin Wang; Peng Wang 076; Lyudmila Mihaylova; Matthew Hill (FUSION, 2021)

A Convolutional Neural Network Combined with a Gaussian Process for Speed Prediction in Traffic Networks. - Yifei Zhu 002; Peng Wang 076; Lyudmila Mihaylova (MFI, 2021)

Toward Robust Visual Odometry Using Prior 2D Map Information and Multiple Hypothesis Particle Filtering. - Seamus Edwards; Lyudmila Mihaylova; Jonathan M. Aitken; Sean R. Anderson (TAROS, 2021)

Improving SLAM in Pipe Networks by Leveraging Cylindrical Regularity. - Rui Zhang; Mathew H. Evans; Rob Worley; Sean R. Anderson; Lyudmila Mihaylova (TAROS, 2021)

Image Fusion for Remote Sizing of Hot High Quality Steel Sections. - Y. Lin; Peng Wang 076; Ree Muroiwa; Simon Pike; Lyudmila Mihaylova (UKCI, 2021)

Simultaneous Localization and Mapping for Inspection Robots in Water and Sewer Pipe Networks: A Review. - Jonathan M. Aitken; Mathew H. Evans; Rob Worley; Seamus Edwards; Rui Zhang; Tony J. Dodd; Lyudmila Mihaylova; Sean R. Anderson (IEEE Access, 2021)

Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction. - Youngjoo Kim; Peng Wang 076; Lyudmila Mihaylova (CoRR, 2021)

Feature-refined box particle filtering for autonomous vehicle localisation with OpenStreetMap. - Peng Wang 076; Lyudmila Mihaylova; Philippe Bonnifait; Philippe Xu; Jianwen Jiang (Eng. Appl. Artif. Intell., 2021)

Hybrid game approach-based channel congestion control for the Internet of Vehicles. - Hayder M. Amer; Hayder A. A. Al-Kashoash; Shuang Ma; Mohammed J. Khami; Lyudmila Mihaylova (IET Wirel. Sens. Syst., 2021)

A deep learning framework for autonomous flame detection. - Zhenglin Li; Lyudmila Mihaylova; Le Yang 001 (Neurocomputing, 2021)

Deep ConvNet: Non-Random Weight Initialization for Repeatable Determinism, Examined with FSGM. - Richard N. M. Rudd-Orthner; Lyudmila Mihaylova (Sensors, 2021)

A flexible robust Student's t-based multimodel approach with maximum Versoria criterion. - Chen Shen; Lyudmila Mihaylova (Signal Process., 2021)

A computationally efficient symmetric diagonally dominant matrix projection-based Gaussian process approach. - Peng Wang 076; Lyudmila Mihaylova; Said Munir; Rohit Chakraborty; Jikai Wang; Martin Mayfield; Khan Alam; Muhammad Fahim Khokhar; Daniel Coca (Signal Process., 2021)

A Learning Gaussian Process Approach for Maneuvering Target Tracking and Smoothing. - Waqas Aftab; Lyudmila Mihaylova (IEEE Trans. Aerosp. Electron. Syst., 2021)

A Gaussian Process Iterative Learning Control for Aircraft Trajectory Tracking. - Almudena Buelta; Alberto Olivares; Ernesto Staffetti; Waqas Aftab; Lyudmila Mihaylova (IEEE Trans. Aerosp. Electron. Syst., 2021)

From the Editor-in-Chief FEBRUARY 2021. - Lyudmila Mihaylova; Gökhan Inalhan (IEEE Trans. Aerosp. Electron. Syst., 2021)

Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography. - Navin Cooray; Zhenglin Li; Jinzhuo Wang; Christine Lo; Mahnaz Arvaneh; Mkael Symmonds; Michele T. M. Hu; Maarten De Vos; Lyudmila S. Mihaylova (FUSION, 2022)

UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking. - Shidrokh Goudarzi; Wenwu Wang 001; Pei Xiao 001; Lyudmila Mihaylova; Simon J. Godsill (FUSION, 2022)

Deep Learning for Audio Visual Emotion Recognition. - Tassadaq Hussain; Wenwu Wang 001; Nidhal Bouaynaya; Hassan M. Fathallah-Shaykh; Lyudmila Mihaylova (FUSION, 2022)

A Learning Distributed Gaussian Process Approach for Target Tracking over Sensor Networks. - Xingchi Liu; Chenyi Lyu; Jemin George; Tien Pham; Lyudmila Mihaylova (FUSION, 2022)

On the Fixed-Interval Smoothing for Jump Markov Nonlinear Systems. - Yi Liu; Xi Li 020; Le Yang 001; Lyudmila Mihaylova; Yanbo Xue (FUSION, 2022)

Efficient Factorisation-based Gaussian Process Approaches for Online Tracking. - Chenyi Lyu; Xingchi Liu; Lyudmila Mihaylova (FUSION, 2022)

Audio-Visual Tracking of Multiple Speakers Via a PMBM Filter. - Jinzheng Zhao; Peipei Wu; Xubo Liu 001; Yong Xu 004; Lyudmila Mihaylova; Simon J. Godsill; Wenwu Wang 001 (ICASSP, 2022)

An Interacting Multiple Model Correntropy Kalman Filter Approach for Unmanned Aerial Vehicle Localisation. - Fethi Candan; Aykut Beke; Chen Shen; Lyudmila Mihaylova (INISTA, 2022)

A Deep Learning Method with Cross Dropout Focal Loss Function for Imbalanced Semantic Segmentation. - Jingxuan Su; Sean R. Anderson; Lyudmila S. Mihaylova (SDF, 2022)

Review of Recent Advances in Gaussian Process Regression Methods. - Chenyi Lyu; Xingchi Liu; Lyudmila Mihaylova (UKCI, 2022)

3, 2, 1, Drones Go! A Testbed to Take Off UAV Swarm Intelligence for Distributed Sensing. - Chuhao Qin; Fethi Candan; Lyudmila Mihaylova; Evangelos Pournaras (UKCI, 2022)

Recent Advances in Video Analytics for Rail Network Surveillance for Security, Trespass and Suicide Prevention - A Survey. - Tianhao Zhang 003; Waqas Aftab; Lyudmila Mihaylova; Christian Langran-Wheeler; Samuel Rigby; David I. Fletcher; Steve Maddock; Garry Bosworth (Sensors, 2022)

A Sliding Window Variational Outlier-Robust Kalman Filter Based on Student's t-Noise Modeling. - Fengchi Zhu; Yulong Huang; Chao Xue; Lyudmila Mihaylova; Jonathon A. Chambers (IEEE Trans. Aerosp. Electron. Syst., 2022)

On the Approximation of the Quotient of Two Gaussian Densities for Multiple-Model Smoothing. - Yi Liu; Xi Li 020; Le Yang 001; Lyudmila Mihaylova; Yanbo Xue (FUSION, 2023)

Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification. - Jingxuan Su; Sean R. Anderson; Lyudmila Mihaylova (FUSION, 2023)

Out-of-distribution Object Detection through Bayesian Uncertainty Estimation. - Tianhao Zhang 003; Shenglin Wang; Nidhal Bouaynaya; Radu Calinescu; Lyudmila Mihaylova (FUSION, 2023)

An Interacting Multiple Model Approach Based on Maximum Correntropy Student's T Filter. - Fethi Candan; Aykut Beke; Lyudmila Mihaylova (IROS, 2023)

Continuous Monitoring of Health and Mobility Indicators in Patients with Cardiovascular Disease: A Review of Recent Technologies. - Muhammad Ali Shiwani; Timothy J. A. Chico; Fabio Ciravegna; Lyudmila Mihaylova (Sensors, 2023)

Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking Over Wireless Sensor Networks. - Xingchi Liu; Lyudmila Mihaylova; Jemin George; Tien Pham (IEEE J. Sel. Top. Signal Process., 2023)

Uncertainty-Aware Variational Inference for Target Tracking. - Haoran Cui; Lyudmila Mihaylova; Xiaoxu Wang; Shuaihe Gao (IEEE Trans. Aerosp. Electron. Syst., 2023)

Risk-Aware Contextual Learning for Edge-Assisted Crowdsourced Live Streaming. - Xingchi Liu; Mahsa Derakhshani; Lyudmila Mihaylova; Sangarapillai Lambotharan (IEEE J. Sel. Areas Commun., 2023)

Video Data for Robot Localisation within Pipe Networks. - Rui Zhang; Rob Worley; Sarah Edwards; Jonathan M. Aitken; Sean R. Anderson; Lyudmila Mihaylova (IEEE DataPort, 2023)

Video Data for Robot Localisation within Pipe Networks. - Rui Zhang; Rob Worley; Sarah Edwards; Jonathan M. Aitken; Sean R. Anderson; Lyudmila Mihaylova (IEEE DataPort, 2023)

Real-Time Interval Type-2 Fuzzy Control of an Unmanned Aerial Vehicle with Flexible Cable-Connected Payload. - Fethi Candan; Omer Faruk Dik; Tufan Kumbasar; Mahdi Mahfouf; Lyudmila Mihaylova (Algorithms, 2023)

Visual Simultaneous Localization and Mapping for Sewer Pipe Networks Leveraging Cylindrical Regularity. - Rui Zhang; Rob Worley; Sarah Edwards; Jonathan M. Aitken; Sean R. Anderson; Lyudmila Mihaylova (IEEE Robotics Autom. Lett., 2023)

A Gaussian-Generalized-Inverse-Gaussian Joint-Distribution-Based Adaptive MSCKF for Visual-Inertial Odometry Navigation. - Chao Xue; Yulong Huang; Cheng Zhao; Xiaodong Li; Lyudmila Mihaylova; Youfu Li 001; Jonathon A. Chambers (IEEE Trans. Aerosp. Electron. Syst., 2023)

A robust method for approximate visual robot localization in feature-sparse sewer pipes. - Sarah Edwards; Rui Zhang; Rob Worley; Lyudmila Mihaylova; Jonathan M. Aitken; Sean R. Anderson (Frontiers Robotics AI, 2023)

Plant leaf deep semantic segmentation and a novel benchmark dataset for morning glory plant harvesting. - Jingxuan Su; Sean R. Anderson; Mahed Javed; Charoenchai Khompatraporn; Apinanthana Udomsakdigool; Lyudmila Mihaylova (Neurocomputing, 2023)

On the Gaussian Filtering for Nonlinear Dynamic Systems Using Variational Inference. - Yi Liu; Xi Li 020; Le Yang 001; Lyudmila Mihaylova; Ji Li (FUSION, 2024)

Active Sensing for Target Tracking: A Bayesian Optimisation Approach. - Xingchi Liu; Lyudmila Mihaylova (FUSION, 2024)

Efficient Centralised and Decentralised Gaussian Process Approaches for Online Tracking within Stone Soup. - Chenyi Lyu; Xingchi Liu; James Wright; Jordi Barr; Alasdair Hunter; Lyudmila Mihaylova (FUSION, 2024)

Probabilistic Estimation of Vehicle Speed for Autonomous Vehicles using Deep Kernel Learning. - Esa Apriaskar; Xingyu Liu; Amornyos Horprasert; Lyudmila Mihaylova (ICCMA, 2024)

Efficient News Synopsis Generation with T5 Transformers. - João António; Lyudmila Mihaylova; Petia Georgieva (IS, 2024)

Deep Reinforcement Learning Method for Control of Mixed Autonomy Traffic Systems. - Xingyu Liu; Esa Apriaskar; Lyudmila Mihaylova (MFI, 2024)

PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection. - Tianhao Zhang 003; Zhixiang Chen 003; Lyudmila S. Mihaylova (CoRR, 2024)

Head tracking using an optical soft tactile sensing surface. - Bhoomika Gandhi; Lyudmila Mihaylova; Sanja Dogramadzi (Frontiers Robotics AI, 2024)

Editorial: Pipeline inspection robots. - Lyudmila Mihaylova; Atsushi Kakogawa; Shugen Ma; Hyouk Ryeol Choi; Taro Nakamura (Frontiers Robotics AI, 2024)

A versatile real-time vision-led runway localisation system for enhanced autonomy. - Kyriacos Tsapparellas; Nickolay Jelev; Jonathon Waters; Aditya M. Shrikhande; Sabine Brunswicker; Lyudmila S. Mihaylova (Frontiers Robotics AI, 2024)

WC-CP: A Bluetooth Low Energy Indoor Positioning Method Based on the Weighted Centroid of the Convex Polygon. - Jinjin Yan; Manyu Zhang; Jinquan Yang; Lyudmila Mihaylova; Weijie Yuan 001; You Li (ISPRS Int. J. Geo Inf., 2024)

BaSIS-Net: From Point Estimate to Predictive Distribution in Neural Networks - A Bayesian Sequential Importance Sampling Framework. - Giuseppina Carannante; Nidhal Bouaynaya; Ghulam Rasool 001; Lyudmila Mihaylova (Trans. Mach. Learn. Res., 2024)

PLPF-VSLAM: An indoor visual SLAM with adaptive fusion of point-line-plane features. - Jinjin Yan; Youbing Zheng; Jinquan Yang; Lyudmila Mihaylova; Weijie Yuan 001; Fuqiang Gu (J. Field Robotics, 2024)

A deep learning-enhanced Digital Twin framework for improving safety and reliability in human-robot collaborative manufacturing. - Shenglin Wang; Jingqiong Zhang; Peng Wang 076; James Law; Radu Calinescu; Lyudmila Mihaylova (Robotics Comput. Integr. Manuf., 2024)

A Real-time Fuzzy Interacting Multiple-Model Velocity Obstacle Avoidance Approach for Unmanned Aerial Vehicles. - Fethi Candan; Aykut Beke; Mahdi Mahfouf; Lyudmila Mihaylova (J. Intell. Robotic Syst., 2024)

Overcoming Overfitting in Reinforcement Learning via Gaussian Process Diffusion Policy. - Amornyos Horprasert; Esa Apriaskar; Xingyu Liu; Lanlan Su; Lyudmila S. Mihaylova (SSP, 2025)

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network. - Usman Muhammad; Jorma Laaksonen; Lyudmila Mihaylova (SSP, 2025)

A meta-reinforcement learning method for adaptive payload transportation with variations. - Jingyu Chen; Ruidong Ma; Meng Xu; Fethi Candan; Lyudmila Mihaylova; John Oyekan (Neurocomputing, 2025)

MorphoSeg: An uncertainty-aware deep learning method for biomedical segmentation of complex cellular morphologies. - Tianhao Zhang 003; Heather J. McCourty; Berardo M. Sanchez-Tafolla; Anton Nikolaev; Lyudmila S. Mihaylova (Neurocomputing, 2025)

A robust unsupervised method for outlier set detection. - Amal Sarfraz; Abigail N. Birnbaum; Flannery Dolan; Jonathan Lamontagne; Lyudmila Mihaylova; Charles Rougé (Knowl. Based Syst., 2025)

Towards automated remote sizing and hot steel manufacturing with image registration and fusion. - Yueda Lin; Peng Wang 076; Zichen Wang; Sardar Ali; Lyudmila Mihaylova (J. Intell. Manuf., 2025)

Correction: Towards automated remote sizing and hot steel manufacturing with image registration and fusion. - Yueda Lin; Peng Wang 076; Zichen Wang; Sardar Ali; Lyudmila Mihaylova (J. Intell. Manuf., 2025)

MI3SE: A Multi-User Index-Based Searchable Symmetric Encryption Scheme for Improving Security of Data in Connected Electronic Devices. - Seyed Ahmad Soleymani; Shidrokh Goudarzi; Mohammad Hossein Anisi; Pei Xiao 001; Lyudmila Mihaylova; Wenwu Wang 001 (IEEE Trans. Consumer Electron., 2025)

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection. - Alex George; Will Shepherd; Simon Tait; Lyudmila Mihaylova; Sean R. Anderson (CoRR, 2025)

Multiagent $Q$-Learning With Particle Filtering for UAV Tracking in Open-RAN Environment. - Seyed Ahmad Soleymani; Shidrokh Goudarzi; Pei Xiao 001; Lyudmila Mihaylova; Mohammad Shojafar; Wenwu Wang 001 (IEEE Trans. Aerosp. Electron. Syst., 2025)